Application design patterns with in-memory datastores
summary
Covers using in-memory datastores such as Redis beyond simple caching, detailing concrete application design patterns including caching strategies, data replication, sharding for scale, and techniques for high-velocity data ingestion to improve performance.
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chapters (14)
- 0:00Start
- 3:13Why does performance matter?
- 4:06The need for speed
- 6:13Amazon ElastiCache - Fully Managed Service
- 8:01Caching Concepts
- 10:40Amazon ElastiCache is Redis Compatible
- 12:20Lazy Loading
- 16:49Caching Tips
- 18:02Recap
- 31:29Use Case: Session Store
- 39:27Introducing Regd nodes with Data Tiering
- 41:56Simplified architecture and access
- 42:51Additional patterns
- 46:03Related material
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